Evidence map›Paper›PMID 38967244›Full record

ArticleCancer medicine2024

Linguistic isolation correlates with length of stay and mortality for pediatric oncology patients in California.

Samuel Ennett, Akansha Das, Megan Burcham, Robert Fitzgerald, Brian Boville, Surender Rajasekaran, Teresa Kortz, Mara L Leimanis-Laurens

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Samuel EnnettICF, Inc., Reston, Virginia, USA.
Akansha DasWashington & Jefferson College, Washington, Pennsylvania, USA.
Megan BurchamPediatric Hematology Oncology, Helen DeVos Children's Hospital, Grand Rapids, Michigan, USA.
Robert FitzgeraldDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, Michigan, USA.
Brian BovilleDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, Michigan, USA.
Surender RajasekaranPediatric Intensive Care Unit, Helen DeVos Children's Hospital, Grand Rapids, Michigan, USA.
Teresa KortzDepartment of Pediatrics, Division of Critical Care Medicine, University of California, San Francisco, California, USA.
Mara L Leimanis-LaurensDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, Michigan, USA.ORCID 0000-0003-0595-4578

Funding

Fever Etiology and Prognostic Point-of-Care Biomarkers in African Children with Severe Febrile IllnessK23AI144029 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTZ, TERESA · 2020 to 2024
$984k
NIAID NIH HHS K23 AI144029NIH HHS K23AI144029
6 · The paper itself

Abstract

objectiveTo evaluate social drivers of health and how they impact pediatric oncology patients' clinical outcomes during pediatric intensive care unit (PICU) admission via correlation with patient ZIP codes.

methodsDemographic, clinical, and outcome variables from Virtual Pediatric Systems®, LLC for oncology patients (2009-2021) in California PICUs (excluding postoperative) using 3-digit ZIP Codes with social drivers of health variables linguistic isolation, poverty, race/ethnicity, and education abstracted from American Community Survey data for 3-digit ZIP Codes using the Environmental Protection Agency's EJScreen tool. Outcomes of length of stay (LOS), mortality, acuity scores, were compared with social variables.

resultsPositive correlation between mortality and minority racial groups (Hispanic/Latino) across ZIP Codes (correlation coefficients of 0.45 (95% CI: 0.22-0.64, p < 0.001) in 2017, 0.50 (95% CI: 0.27-0.68, p < 0.001) in 2018, 0.33 (95% CI: 0.07-0.54, p = 0.013) in 2020, and 0.32 (95% CI: 0.06-0.53, p = 0.018) in 2021). Median PICU length of stay significantly correlated with linguistic isolation (coefficient of 0.42 (95% CI: 0.18-0.61, p = 0.001) in 2021 versus -0.41 (95% CI: -0.61 to -0.16, p = 0.002) in 2019), which included PRISMIII (n = 7417). Mixed effects logistic regression model for other constant variables (PRISMIII, cancer type, race/ethnicity, year), random effect of patient, linguistic isolation (percentage as a continuous value) was significantly associated (95% CI: 1.01-1.06; p = 0.02) with mortality; (OR = 1.03).

conclusionsLinguistic isolation was correlated with LOS and mortality, however variable year to year.

Indexed as

Intensive Care Units, PediatricLength of StayNeoplasmsAdolescentCaliforniaChildChild, PreschoolFemaleHospital MortalityHumansInfantMalecancerhealth disparitieshealth inequitieslinguistic isolationmedical length of staymortalitypediatric intensive care unitpediatrics

Identifiers

PMID38967244
PMCPMC11224970

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.